Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 2213)
Included in the following conference series:
Conference proceedings info: ICPCSEE 2024.
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About this book
This three-volume set CCIS 2213-2215 constitutes the refereed proceedings of the 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, held in Macau, China, during September 27–30, 2024.
The 74 full papers and 3 short papers presented in these three volumes were carefully reviewed and selected from 249 submissions.
The papers are organized in the following topical sections:
Part I: Novel methods or tools used in big data and its applications; applications of data science.
Part II: Education research, methods and materials for data science and engine; data security and privacy; big data mining and knowledge management.
Part III: Infrastructure for data science; social media and recommendation system; multimedia data management and analysis.
Keywords
Table of contents (25 papers)
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Novel Methods or Tools Used in Big Data and Its Applications
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Applications of Data Science
Other volumes
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Data Science
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Data Science
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Data Science
Editors and Affiliations
Bibliographic Information
Book Title: Data Science
Book Subtitle: 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27–30, 2024, Proceedings, Part I
Editors: Chengzhong Xu, Haiwei Pan, Chen Yu, Jianping Wang, Qilong Han, Xianhua Song, Zeguang Lu
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-97-8743-2
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Softcover ISBN: 978-981-97-8742-5Published: 31 October 2024
eBook ISBN: 978-981-97-8743-2Published: 30 October 2024
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XXV, 327
Number of Illustrations: 40 b/w illustrations, 138 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computer Applications, Machine Learning, Computers and Education